RRepoGEO

REPOGEO REPORT · LITE

jobbole/awesome-go-cn

Default branch master · commit 841488b3 · scanned 5/16/2026, 12:37:17 PM

GitHub: 7,370 stars · 1,174 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface jobbole/awesome-go-cn, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to clearly state what this repo is

    Why:

    CURRENT
    【导读】：awesome-go 就是 `avelino` 发起维护的 Go 资源列表，内容包括：音频和音乐库、命令行工具、服务端应用、流处理、持续集成、数据库、机器学习、NLP、物联网、中间件、文本处理、安全、机器人技术等。

这个列表堪称最全面的 Go 资源汇总，在 GitHub 已有近 `6 万 Star`。

中文版由`开源前哨`和`Go开发大全`微信公号团队维护更新，在 GitHub 已有近`3100 Star`，欢迎在 Github 上关注。这个中文版的资源库会定期同步更新到这里。
    COPY-PASTE FIX
    【导读】：`jobbole/awesome-go-cn` 是由「开源前哨」和「Go开发大全」微信团队维护的 Go 资源精选列表中文版。它定期同步更新 `avelino/awesome-go` 的内容，收录了最全面的 Go 资源，涵盖音频和音乐库、命令行工具、服务端应用、流处理、持续集成、数据库、机器学习、NLP、物联网、中间件、文本处理、安全、机器人技术等。欢迎在 GitHub 上关注。
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    go, golang
    COPY-PASTE FIX
    go, golang, awesome-list, curated-list, resources, chinese, 中文
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file (e.g., CC0-1.0, MIT, or Apache-2.0) to the repository root to clarify usage rights for the list content.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface jobbole/awesome-go-cn
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome Go
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome Go · recommended 1×
  2. Go.dev/pkg · recommended 1×
  3. Go Modules Proxy · recommended 1×
  4. GitHub Explore · recommended 1×
  5. Go Report Card · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of Go libraries and tools for various development tasks?
    you: not recommended
    AI recommended (in order):
    1. Awesome Go
    2. Go.dev/pkg
    3. Go Modules Proxy
    4. GitHub Explore
    5. Go Report Card

    AI recommended 5 alternatives but never named jobbole/awesome-go-cn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential Go frameworks and libraries for building modern applications?
    you: not recommended
    AI recommended (in order):
    1. Gin Gonic (gin-gonic/gin)
    2. GORM (go-gorm/gorm)
    3. Go-chi/chi (go-chi/chi)
    4. Viper (spf13/viper)
    5. Zap (uber-go/zap)
    6. Testify (stretchr/testify)
    7. Cobra (spf13/cobra)

    AI recommended 7 alternatives but never named jobbole/awesome-go-cn. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of jobbole/awesome-go-cn?
    pass
    AI named jobbole/awesome-go-cn explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts jobbole/awesome-go-cn in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jobbole/awesome-go-cn explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo jobbole/awesome-go-cn solve, and who is the primary audience?
    pass
    AI did not name jobbole/awesome-go-cn — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite